Predictors of a normal chest x-ray in respiratory syncytial virus infection
| Autor: | Karel G.M. Moons, Martin C. J. Kneyber, Henriëtte A. Moll, R. de Groot |
|---|---|
| Přispěvatelé: | Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE) |
| Jazyk: | angličtina |
| Rok vydání: | 2001 |
| Předmět: |
Pulmonary and Respiratory Medicine
Male Pediatrics medicine.medical_specialty Pulmonary Atelectasis Thoracic Atelectasis Respiratory Syncytial Virus Infections Logistic regression Sensitivity and Specificity Diagnosis Differential Theoretical Models Predictive Value of Tests Reference Values Diagnosis Medicine Outpatient clinic Humans Medical history False Negative Reactions Respiratory tract infections Receiver operating characteristic business.industry Infant Newborn Infant Models Theoretical medicine.disease Newborn Pulmonary Atelectasis/etiology Surgery Radiography Bronchiolitis Predictive value of tests Pediatrics Perinatology and Child Health Differential Radiography Thoracic Female Respiratory Syncytial Virus Infections/diagnostic imaging business |
| Zdroj: | Pediatric Pulmonology, 31(4), 277-283. Wiley |
| ISSN: | 1099-0496 8755-6863 |
| Popis: | Respiratory syncytial virus (RSV) accounts for the majority of lower respiratory tract infections (LRTI) in infants and young children. A chest x-ray is frequently performed in infants with LRTI caused by RSV. The aim of this study was to develop and validate a prediction model to estimate the probability for a normal chest x-ray in children with RSV infection. For this purpose, easy obtainable diagnostic parameters were used. This prediction model may be applied to decide which patients do not require a chest x-ray. The data of 287 children admitted with RSV infection or diagnosed as such in the outpatient department of the Sophia Children's Hospital between 1992-1996 were studied. The derivation set comprised 232 patients (1992-1995), and the validation set contained 55 patients (1995-1996). A chest x-ray was designated as normal when atelectasis, hyperinflation, or pulmonary infiltrates were absent. In order to develop a prediction model, patient history and clinical and laboratory variables were consecutively entered into a logistic regression model according to the diagnostic workup that was practiced at the time. Variables with P < or = 0.10 were retained in the model. The predictive accuracy of the multivariable models was examined using the area under receiver operating curve (ROC-area). In 202 (87%) patients from the derivation set, a chest x-ray was performed. A normal chest x-ray could be predicted by increasing age, increasing birth weight, presence of rhinitis, absence of retractions, and increasing arterial oxygen saturation. The ROC-area was 0.80 in the derivation and validation sets. This prediction model was transformed into a score chart. In conclusion, a normal chest x-ray can accurately be predicted, using a model including easily obtainable patient characteristics, and clinical and laboratory variables. This model may be a useful tool in deciding whether or not to perform a chest x-ray in patients with RSV infections. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text